This communication attempts to analyze karachi coastal area(Paradise Point 24.84 o E, 66.77 o N)) for an understanding of underlying probability distribution. It has been found that at this site the annual wind speed ...
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This communication attempts to analyze karachi coastal area(Paradise Point 24.84 o E, 66.77 o N)) for an understanding of underlying probability distribution. It has been found that at this site the annual wind speed at a height of 30 meters remains very close to 7 m/s whereas at a height of 61 meters the wind speed reaches to 9 m/s. Moreover, the wind mostly remains directed towards southwest. Furthermore, the annual average wind speed follows Weibull distribution and the annual average wind speed goes on increasing with the passage of time. Maximum energy together with the energy density for different values of the wind mill blade diameters is also calculated. Our analysis shows that the wind speed is increasing as a consequence of global climate change. Though the global climate change has created many threats to the humanity by influencing the local urban microclimate but the positive aspect of this finding is that the increase in wind speed will increase the feasibility and economic viability of the construction of wind farms near karachi coast and offshore. Of course these calculations will be useful for urban and energy planners.
At the present scenario, one of the main reasons of death is cardiovascular related diseases. This project proposes a system to help the doctor to detect cardiac arrhythmia. The techniques used in this pattern recogni...
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Electrocardiogram measurement plays a fundamental role for the finding and monitoring of a variety of cardiac problems. In this investigational study we considered three lead computer interface ECG module with PIC Con...
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Fire security system always provides high security against fire. Conventional fire security systems are wired and they usually contain smoke detectors and control panel. The control panel is sometimes hard to operate....
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This study is an attempt to characterize the specially designed x-ray sensors for the predesigned x-ray intensity monitoring device by evaluating their linearity and sensitivity. Two different sensors are designed usi...
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Wireless technologies are bringing about a new conception on transport systems. New technologies provide support for increased security, reduced congestion thus optimizing the already existing road network and better ...
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For video sequences, the visibility of distortion depends upon the motion present in the video, as the temporal activity can mask the distortion. For videos with high temporal activity, the blockiness will be more dis...
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Efficient detection of un-attenuated and attenuated x-rays intensities is crucial to reconstruct 3D volume in a Computed Tomography (CT) machine employed for Non-Destructive Testing. In this study, an x-ray sensor is ...
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Usage of streaming video over the Internet and mobile networks has become quite common due to its convenience and low cost. In all the uses of streaming video over networks that do not guarantee bandwidths, the major ...
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Usage of streaming video over the Internet and mobile networks has become quite common due to its convenience and low cost. In all the uses of streaming video over networks that do not guarantee bandwidths, the major challenge is to maintain acceptable video viewing experience in case of a network congestion. This paper presents a technique that has the potential to solve this challenge, at least to a certain extent. The proposed technique dynamically adjusts the chrominance level of the video images to fit the available bandwidth. Analysis of the results indicates that dynamic chrominance adjustment does improve the viewing quality of the streaming video significantly.
A key aspect of collaboration systems, and therefore collaboration technologies is the ability to access concerned information in timely manner. The Internet of things (IoT) is being envisioned as the architecture of ...
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ISBN:
(纸本)9781467364034
A key aspect of collaboration systems, and therefore collaboration technologies is the ability to access concerned information in timely manner. The Internet of things (IoT) is being envisioned as the architecture of the future to assist in this regard. It will be created by combining sensing and communicating devices, which will provide data that can be analyzed and used to initiate automated actions. This structure of IoT has now given a new recognition to Wireless Sensor etworks (WS ) such that WS can be identified as the datacollecting component of the IoT. Efficient data collection from a large scale WS , with limited power supply, bandwidth and packet sizes, is a critical issue. One of the methods of data collection in a WS is through forming multiple clusters of the sensor nodes with one cluster head (CH) in each cluster. The objective of this work is to develop an energy efficient data collection environment for a large scale, randomly deployed cluster based wireless sensor networks by using a virtual grid based mechanism to localize the clusters and stabilize the cluster sizes in the network. This has been done as a precondition to implement the proposed differential data aggregation scheme for the spatially correlated data in a cluster.
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